Why the study?
Personalized anesthesia tailors care to genetics, comorbidities, and patient-specific factors, but a comprehensive review exploring the integration of advanced technologies like genomics and artificial intelligence into clinical practice was needed.
Key points are not available for this paper at this time.
Design
Comprehensive review
Personalized anesthesia protocols should not yet change practice; this review leaves open the need for prospective validation.
Precision medicine, characterized by the personalized integration of a patient's genetic blueprint and clinical history, represents a dynamic paradigm in healthcare evolution. The emerging field of personalized anesthesia is at the intersection of genetics and anesthesiology, where anesthetic care will be tailored to an individual's genetic make-up, comorbidities and patient-specific factors. Genomics and biomarkers can provide more accurate anesthetic protocols, while artificial intelligence can simplify anesthetic procedures and reduce anesthetic risks, and real-time monitoring tools can improve perioperative safety and efficacy. The aim of this paper is to present and summarize the applications of these related fields in anesthesiology by reviewing them, exploring the potential of advanced technologies in the implementation and development of personalized anesthesia, realizing the future integration of new technologies into clinical practice, and promoting multidisciplinary collaboration between anesthesiology and disciplines such as genomics and artificial intelligence.
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Zeng et al. (2024) studied this question.
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